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DarksitoBest
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AMANDA

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
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End of training

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  1. README.md +30 -24
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0444
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- - Accuracy: 0.4533
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  ## Model description
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@@ -48,28 +48,34 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.4822 | 0.1 | 5 | 1.2775 | 0.395 |
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- | 1.1604 | 0.2 | 10 | 1.2589 | 0.395 |
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- | 1.1784 | 0.3 | 15 | 1.1539 | 0.395 |
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- | 1.1704 | 0.4 | 20 | 1.1236 | 0.3917 |
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- | 1.1161 | 0.5 | 25 | 1.1705 | 0.3367 |
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- | 1.1447 | 0.6 | 30 | 1.0990 | 0.395 |
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- | 1.1044 | 0.7 | 35 | 1.1322 | 0.395 |
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- | 1.1298 | 0.8 | 40 | 1.1031 | 0.3967 |
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- | 1.0771 | 0.9 | 45 | 1.1116 | 0.44 |
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- | 1.081 | 1.0 | 50 | 1.1141 | 0.38 |
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- | 1.0722 | 1.1 | 55 | 1.0696 | 0.4367 |
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- | 1.0786 | 1.2 | 60 | 1.0916 | 0.395 |
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- | 1.0669 | 1.3 | 65 | 1.0678 | 0.4333 |
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- | 1.0051 | 1.4 | 70 | 1.0759 | 0.4233 |
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- | 0.9618 | 1.5 | 75 | 1.0802 | 0.4383 |
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- | 1.087 | 1.6 | 80 | 1.0594 | 0.435 |
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- | 0.9462 | 1.7 | 85 | 1.0558 | 0.4817 |
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- | 1.052 | 1.8 | 90 | 1.0451 | 0.4717 |
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- | 1.0135 | 1.9 | 95 | 1.0442 | 0.455 |
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- | 1.0523 | 2.0 | 100 | 1.0444 | 0.4533 |
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4717
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+ - Accuracy: 0.8243
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 1.2389 | 0.0769 | 5 | 0.8651 | 0.8243 |
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+ | 0.6616 | 0.1538 | 10 | 0.6137 | 0.8243 |
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+ | 0.3941 | 0.2308 | 15 | 0.6143 | 0.8243 |
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+ | 0.6576 | 0.3077 | 20 | 0.5270 | 0.8243 |
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+ | 0.4628 | 0.3846 | 25 | 0.4904 | 0.8243 |
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+ | 0.4493 | 0.4615 | 30 | 0.5351 | 0.8243 |
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+ | 0.5603 | 0.5385 | 35 | 0.5049 | 0.8243 |
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+ | 0.5586 | 0.6154 | 40 | 0.4949 | 0.8243 |
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+ | 0.528 | 0.6923 | 45 | 0.4784 | 0.8243 |
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+ | 0.6357 | 0.7692 | 50 | 0.4717 | 0.8243 |
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+ | 0.4228 | 0.8462 | 55 | 0.4674 | 0.8243 |
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+ | 0.4739 | 0.9231 | 60 | 0.4616 | 0.8243 |
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+ | 0.4855 | 1.0 | 65 | 0.4503 | 0.8243 |
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+ | 0.6234 | 1.0769 | 70 | 0.4921 | 0.8243 |
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+ | 0.5158 | 1.1538 | 75 | 0.4351 | 0.8243 |
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+ | 0.3356 | 1.2308 | 80 | 0.4576 | 0.8243 |
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+ | 0.4118 | 1.3077 | 85 | 0.4457 | 0.8243 |
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+ | 0.39 | 1.3846 | 90 | 0.4153 | 0.8243 |
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+ | 0.3848 | 1.4615 | 95 | 0.4377 | 0.8243 |
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+ | 0.3499 | 1.5385 | 100 | 0.4427 | 0.8209 |
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+ | 0.3776 | 1.6154 | 105 | 0.3825 | 0.8446 |
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+ | 0.4228 | 1.6923 | 110 | 0.3755 | 0.8345 |
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+ | 0.3157 | 1.7692 | 115 | 0.4031 | 0.8243 |
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+ | 0.3163 | 1.8462 | 120 | 0.4938 | 0.8277 |
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+ | 0.504 | 1.9231 | 125 | 0.4861 | 0.8277 |
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+ | 0.4722 | 2.0 | 130 | 0.4717 | 0.8243 |
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  ### Framework versions